{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from result_util import *\n",
    "unique_swept_datafit_strengths = get_unique_swept_datafit_strengths(base_path=\"/home/user/sirf/coordinators/RDP/test_10/*.pt\")\n",
    "save_sweep_dicts(unique_swept_datafit_strengths=unique_swept_datafit_strengths)\n",
    "unique_swept_datafit_strengths = get_unique_swept_datafit_strengths(base_path=\"E:/projects/pet_score_model/coordinators/RDP/**/*.pt\")\n",
    "save_sweep_dicts(unique_swept_datafit_strengths=unique_swept_datafit_strengths)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pet",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
